David F. Gleich

181 papers A* 25A 10B 3C 8Misc 1Journal 118Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decoupling Variance and Scale-Invariant Updates in Adaptive Gradient Descent for Unified Vector and Matrix Optimization. CoRR Zitao Song, Cedar Site Bai, Zhe Zhang, Brian Bullins, David F. Gleich
2026	—	`ed.`	Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, KDD 2026, Jeju Island, Korea, August 9-13, 2026 KDD (1) Srinivasan Parthasarathy, David F. Gleich, Xiangliang Zhang, Wee Hyong Tok, Faisal Farooq, Qi He, Ambuj K. Singh, Haixun Wang, Yan Liu
2025	J	`jnl`	An Empirical Study of Conjugate Gradient Preconditioners for Solving Symmetric Positive Definite Systems of Linear Equations. CoRR Marc A. Tunnell, David F. Gleich
2025	J	`jnl`	Dominant H-Eigenvectors of Tensor Kronecker Products Do Not Decouple. CoRR Ayush Kulkarni, Charles Colley, David F. Gleich
2025	J	`jnl`	Fault Oblivious Eigenvalue Solver. CoRR Jayanta Mukherjee, Xuejiao Kang, David F. Gleich, Ahmed Sameh, Ananth Grama
2025	J	`jnl`	How Fast Can Graph Computations Go on Fine-grained Parallel Architectures. CoRR Yuqing Wang, Charles Colley, Brian Wheatman, Jiya Su, David F. Gleich, Andrew A. Chien
2025	—	`conf`	KVMSR+UDWeave: Extreme-Scaling with Fine-grained Parallelism on the UpDown Graph Supercomputer. SC Workshops Alexander Fell, Yuqing Wang, Tianshuo Su, Marziyeh Nourian, Wenyi Wang, Jose M. Monsalve Diaz, Andronicus Samsundar Rajasukumar, Jiya Su, Ruiqi Xu, Rajat Khandelwal, Tianchi Zhang, David F. Gleich, Yanjing Li, Hank Hoffmann, Andrew A. Chien
2025	J	`jnl`	Powers of Magnetic Graph Matrix: Fourier Spectrum, Walk Compression, and Applications. CoRR Yinan Huang, David F. Gleich, Pan Li
2025	—	`conf`	Scaling Triangle Counting and K-Truss on the UpDown Architecture. HPEC Jiya Su, Alexander Fell, Andronicus Rajasukumar, David F. Gleich, Andrew A. Chien
2024	J	`jnl`	A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings. J. Appl. Comput. Topol. Disha Shur, Yufan Huang, David F. Gleich
2024	J	`jnl`	A spatial hypergraph model where epidemic spread demonstrates clear higher-order effects. CoRR Omar Eldaghar, Yu Zhu, David F. Gleich
2024	J	`jnl`	Better than best low-rank approximation with the singular value decomposition. CoRR David F. Gleich
2024	A*	`conf`	Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. WWW Yufan Huang, David F. Gleich, Nate Veldt
2024	J	`jnl`	Suboptimality bounds for trace-bounded SDPs enable a faster and scalable low-rank SDP solver SDPLR+. CoRR Yufan Huang, David F. Gleich
2023	J	`jnl`	A Cheeger Inequality for Size-Specific Conductance. CoRR Yufan Huang, David F. Gleich
2023	J	`jnl`	Aligning Spatially Constrained Graphs. IEEE Trans. Knowl. Data Eng. Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama
2023	J	`jnl`	Densest Subhypergraph: Negative Supermodular Functions and Strongly Localized Methods. CoRR Yufan Huang, David F. Gleich, Nate Veldt
2023	J	`jnl`	Dominant Z-Eigenpairs of Tensor Kronecker Products Decouple. SIAM J. Matrix Anal. Appl. Charles Colley, Huda Nassar, David F. Gleich
2023	—	`conf`	Efficiently Exploiting Irregular Parallelism Using Keys at Scale. LCPC Yuqing Wang, Andronicus Rajasukumar, Tianshuo Su, Marziyeh Nourian, Jose M. Monsalve Diaz, Ahsan Pervaiz, Jerry Ding, Charles Colley, Wenyi Wang, Yanjing Li, David F. Gleich, Hank Hoffmann, Andrew A. Chien
2023	J	`jnl`	Flow-Based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance. SIAM Rev. Kimon Fountoulakis, Meng Liu, David F. Gleich, Michael W. Mahoney
2023	J	`jnl`	Multi-scale Local Network Structure Critically Impacts Epidemic Spread and Interventions. CoRR Omar Eldaghar, Michael W. Mahoney, David F. Gleich
2023	A*	`conf`	Theoretical Bounds on the Network Community Profile from Low-rank Semi-definite Programming. ICML Yufan Huang, C. Seshadhri, David F. Gleich
2023	J	`jnl`	Theoretical bounds on the network community profile from low-rank semi-definite programming. CoRR Yufan Huang, Seshadhri Seshadhri, David F. Gleich
2023	J	`jnl`	Topological structure of complex predictions. Nat. Mac. Intell. Meng Liu, Tamal K. Dey, David F. Gleich
2022	J	`jnl`	A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings. CoRR Disha Shur, Yufan Huang, David F. Gleich
2022	A	`conf`	Fauci-Email: A JSON Digest of Anthony Fauci's Released Emails. ICWSM Austin R. Benson, Nate Veldt, David F. Gleich
2022	J	`jnl`	Topological structure of complex predictions. CoRR Meng Liu, Tamal K. Dey, David F. Gleich
2021	J	`jnl`	Adaptive Erasure Coded Fault Tolerant Linear System Solver. ACM Trans. Parallel Comput. Xuejiao Kang, David F. Gleich, Ahmed H. Sameh, Ananth Grama
2021	J	`jnl`	Higher-order Network Analysis Takes Off, Fueled by Classical Ideas and New Data. CoRR Austin R. Benson, David F. Gleich, Desmond J. Higham
2021	J	`jnl`	Scalable Algorithms for Multiple Network Alignment. SIAM J. Sci. Comput. Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich
2021	A*	`conf`	Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. WWW Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich
2021	J	`jnl`	fauci-email: a json digest of Anthony Fauci's released emails. CoRR Austin R. Benson, Nate Veldt, David F. Gleich
2020	—	`conf`	A Parallel Projection Method for Metric Constrained Optimization. CSC Cameron Ruggles, Nate Veldt, David F. Gleich
2020	J	`jnl`	Addressing Computational Bottlenecks in Higher-Order Graph Matching with Tensor Kronecker Product Structure. CoRR Charles Colley, Huda Nassar, David F. Gleich
2020	J	`jnl`	Classes of preferential attachment and triangle preferential attachment models with power-law spectra. J. Complex Networks Nicole Eikmeier, David F. Gleich
2020	J	`jnl`	Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance. CoRR Kimon Fountoulakis, Meng Liu, David F. Gleich, Michael W. Mahoney
2020	B	`conf`	Graph Clustering in All Parameter Regimes. MFCS Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang
2020	J	`jnl`	Local Hypergraph Clustering using Capacity Releasing Diffusion. CoRR Rania Ibrahim, David F. Gleich
2020	J	`jnl`	Neighborhood and PageRank methods for pairwise link prediction. Soc. Netw. Anal. Min. Huda Nassar, Austin R. Benson, David F. Gleich
2020	A*	`conf`	Parameterized Correlation Clustering in Hypergraphs and Bipartite Graphs. KDD Nate Veldt, Anthony Wirth, David F. Gleich
2020	J	`jnl`	Parameterized Objectives and Algorithms for Clustering Bipartite Graphs and Hypergraphs. CoRR Nate Veldt, Anthony Wirth, David F. Gleich
2020	J	`jnl`	Strongly Local Hypergraph Diffusions for Clustering and Semi-supervised Learning. CoRR Meng Liu, Nate Veldt, Haoyu Song, Pan Li, David F. Gleich
2020	A*	`conf`	Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering. NeurIPS Meng Liu, David F. Gleich
2020	J	`jnl`	Strongly local p-norm-cut algorithms for semi-supervised learning and local graph clustering. CoRR Meng Liu, David F. Gleich
2020	A*	`conf`	Using Cliques with Higher-order Spectral Embeddings Improves Graph Visualizations. WWW Huda Nassar, Caitlin Kennedy, Shweta Jain, Austin R. Benson, David F. Gleich
2019	J	`jnl`	A Parallel Projection Method for Metric Constrained Optimization. CoRR Cameron Ruggles, Nate Veldt, David F. Gleich
2019	—	`conf`	Centrality in Dynamic Competition Networks. COMPLEX NETWORKS (2) Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
2019	J	`jnl`	Centrality in dynamic competition networks. CoRR Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
2019	J	`jnl`	Coin-Flipping, Ball-Dropping, and Grass-Hopping for Generating Random Graphs from Matrices of Edge Probabilities. SIAM Rev. Arjun S. Ramani, Nicole Eikmeier, David F. Gleich
2019	J	`jnl`	Computing Tensor Z-Eigenvectors with Dynamical Systems. SIAM J. Matrix Anal. Appl. Austin R. Benson, David F. Gleich
2019	A	`conf`	Flow-Based Local Graph Clustering with Better Seed Set Inclusion. SDM Nate Veldt, Christine Klymko, David F. Gleich
2019	J	`jnl`	Graph Clustering in All Parameter Regimes. CoRR Junhao Gan, David F. Gleich, Nate Veldt, Anthony Wirth, Xin Zhang
2019	A*	`conf`	Learning Resolution Parameters for Graph Clustering. WWW Nate Veldt, David F. Gleich, Anthony Wirth
2019	J	`jnl`	Learning Resolution Parameters for Graph Clustering. CoRR Nate Veldt, David F. Gleich, Anthony Wirth
2019	J	`jnl`	Metric-Constrained Optimization for Graph Clustering Algorithms. SIAM J. Math. Data Sci. Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson
2019	J	`jnl`	Multimodal network diffusion predicts future disease-gene-chemical associations. Bioinform. Chih-Hsu Lin, Daniel M. Konecki, Meng Liu, Stephen J. Wilson, Huda Nassar, Angela D. Wilkins, David F. Gleich, Olivier Lichtarge
2019	J	`jnl`	Multiway Monte Carlo Method for Linear Systems. SIAM J. Sci. Comput. Tao Wu, David F. Gleich
2019	J	`jnl`	Non-Exhaustive, Overlapping Clustering. IEEE Trans. Pattern Anal. Mach. Intell. Joyce Jiyoung Whang, Yangyang Hou, David F. Gleich, Inderjit S. Dhillon
2019	A*	`conf`	Nonlinear Diffusion for Community Detection and Semi-Supervised Learning. WWW Rania Ibrahim, David F. Gleich
2019	J	`jnl`	Pairwise Link Prediction. CoRR Huda Nassar, Austin R. Benson, David F. Gleich
2019	B	`conf`	Pairwise link prediction. ASONAM Huda Nassar, Austin R. Benson, David F. Gleich
2019	—	`conf`	Rigid Graph Alignment. COMPLEX NETWORKS (1) Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama
2019	J	`jnl`	Rigid Graph Alignment. CoRR Vikram Ravindra, Huda Nassar, David F. Gleich, Ananth Grama
2019	J	`jnl`	Triangle Preferential Attachment Has Power-law Degrees and Eigenvalues; Eigenvalues Are More Stable to Network Sampling. CoRR Nicole Eikmeier, David F. Gleich
2018	A*	`conf`	A Correlation Clustering Framework for Community Detection. WWW Nate Veldt, David F. Gleich, Anthony Wirth
2018	J	`jnl`	A Projection Method for Metric-Constrained Optimization. CoRR Nate Veldt, David F. Gleich, Anthony Wirth, James Saunderson
2018	J	`jnl`	A Short Introduction to Local Graph Clustering Methods and Software. CoRR Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney
2018	J	`jnl`	Computing tensor Z-eigenvectors with dynamical systems. CoRR Austin R. Benson, David F. Gleich
2018	B	`conf`	Correlation Clustering Generalized. ISAAC David F. Gleich, Nate Veldt, Anthony Wirth
2018	J	`jnl`	Correlation Clustering Generalized. CoRR David F. Gleich, Nate Veldt, Anthony Wirth
2018	C	`conf`	Dynamic Competition Networks: Detecting Alliances and Leaders. WAW Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
2018	J	`jnl`	Dynamic Competition Networks: detecting alliances and leaders. CoRR Anthony Bonato, Nicole Eikmeier, David F. Gleich, Rehan Malik
2018	J	`jnl`	Flow-Based Local Graph Clustering with Better Seed Set Inclusion. CoRR Nate Veldt, Christine Klymko, David F. Gleich
2018	A*	`conf`	Low Rank Spectral Network Alignment. WWW Huda Nassar, Nate Veldt, Shahin Mohammadi, Ananth Grama, David F. Gleich
2018	J	`jnl`	Low rank methods for multiple network alignment. CoRR Huda Nassar, Georgios Kollias, Ananth Grama, David F. Gleich
2018	A*	`conf`	The HyperKron Graph Model for Higher-Order Features. ICDM Nicole Eikmeier, Arjun S. Ramani, David F. Gleich
2018	J	`jnl`	The HyperKron Graph Model for higher-order features. CoRR Nicole Eikmeier, Arjun S. Ramani, David F. Gleich
2017	J	`jnl`	An Optimization Approach to Locally-Biased Graph Algorithms. Proc. IEEE Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney
2017	J	`jnl`	AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. Bioinform. Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov
2017	J	`jnl`	Coin-flipping, ball-dropping, and grass-hopping for generating random graphs from matrices of edge probabilities. CoRR Arjun S. Ramani, Nicole Eikmeier, David F. Gleich
2017	A*	`conf`	Correlation Clustering with Low-Rank Matrices. WWW Nate Veldt, Anthony Ian Wirth, David F. Gleich
2017	J	`jnl`	Deconvolving Feedback Loops in Recommender Systems. CoRR Ayan Sinha, David F. Gleich, Karthik Ramani
2017	A	`conf`	Distributed Fault Tolerant Linear System Solvers Based on Erasure Coding. ICDCS Xuejiao Kang, David F. Gleich, Ahmed H. Sameh, Ananth Grama
2017	J	`jnl`	Erasure Coding for Fault-Oblivious Linear System Solvers. SIAM J. Sci. Comput. Yao Zhu, David F. Gleich, Ananth Grama
2017	A*	`conf`	Local Higher-Order Graph Clustering. KDD Hao Yin, Austin R. Benson, Jure Leskovec, David F. Gleich
2017	A	`conf`	Multimodal Network Alignment. SDM Huda Nassar, David F. Gleich
2017	J	`jnl`	Multimodal Network Alignment. CoRR Huda Nassar, David F. Gleich
2017	A*	`conf`	Retrospective Higher-Order Markov Processes for User Trails. KDD Tao Wu, David F. Gleich
2017	J	`jnl`	Retrospective Higher-Order Markov Processes for User Trails. CoRR Tao Wu, David F. Gleich
2017	A*	`conf`	Revisiting Power-law Distributions in Spectra of Real World Networks. KDD Nicole Eikmeier, David F. Gleich
2017	J	`jnl`	The Spacey Random Walk: A Stochastic Process for Higher-Order Data. SIAM Rev. Austin R. Benson, David F. Gleich, Lek-Heng Lim
2017	J	`jnl`	Triangular Alignment (TAME): A Tensor-Based Approach for Higher-Order Network Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama
2017	J	`jnl`	Unifying Sparsest Cut, Cluster Deletion, and Modularity Clustering Objectives with Correlation Clustering. CoRR Nate Veldt, David F. Gleich, Anthony Wirth
2016	A*	`conf`	A Simple and Strongly-Local Flow-Based Method for Cut Improvement. ICML Nate Veldt, David F. Gleich, Michael W. Mahoney
2016	J	`jnl`	A Simple and Strongly-Local Flow-Based Method for Cut Improvement. CoRR Nate Veldt, David F. Gleich, Michael W. Mahoney
2016	J	`jnl`	A parallel min-cut algorithm using iteratively reweighted least squares targeting at problems with floating-point edge weights. Parallel Comput. Yao Zhu, David F. Gleich
2016	J	`jnl`	A randomized algorithm for enumerating zonotope vertices. CoRR Kerrek Stinson, David F. Gleich, Paul G. Constantine
2016	J	`jnl`	An optimization approach to locally-biased graph algorithms. CoRR Kimon Fountoulakis, David F. Gleich, Michael W. Mahoney
2016	J	`jnl`	AptRank: an adaptive PageRank model for protein function prediction on bi-relational graphs. CoRR Biaobin Jiang, Kyle Kloster, David F. Gleich, Michael Gribskov
2016	J	`jnl`	Correlation Clustering with Low-Rank Matrices. CoRR Nate Veldt, Anthony Wirth, David F. Gleich
2016	J	`jnl`	Current and Future Challenges in Mining Large Networks: Report on the Second SDM Workshop on Mining Networks and Graphs. SIGKDD Explor. Lawrence B. Holder, Rajmonda Sulo Caceres, David F. Gleich, E. Jason Riedy, Maleq Khan, Nitesh V. Chawla, Ravi Kumar, Yinghui Wu, Christine Klymko, Tina Eliassi-Rad, B. Aditya Prakash
2016	—	`conf`	Deconvolving Feedback Loops in Recommender Systems. NIPS Ayan Sinha, David F. Gleich, Karthik Ramani
2016	A	`conf`	Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. SDM Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
2016	J	`jnl`	Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. CoRR Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
2016	—	`conf`	General Tensor Spectral Co-clustering for Higher-Order Data. NIPS Tao Wu, Austin R. Benson, David F. Gleich
2016	J	`jnl`	General Tensor Spectral Co-clustering for Higher-Order Data. CoRR Tao Wu, Austin R. Benson, David F. Gleich
2016	J	`jnl`	Higher-order organization of complex networks. CoRR Austin R. Benson, David F. Gleich, Jure Leskovec
2016	—	`conf`	Massive graph processing on nanocomputers. IEEE BigData Bryan Rainey, David F. Gleich
2016	—	`ch.`	Mining Large Graphs. Handbook of Big Data David F. Gleich, Michael W. Mahoney
2016	C	`conf`	Mining and Modeling Character Networks. WAW Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
2016	J	`jnl`	Mining and modeling character networks. CoRR Anthony Bonato, David Ryan D'Angelo, Ethan R. Elenberg, David F. Gleich, Yangyang Hou
2016	J	`jnl`	Multi-way Monte Carlo Method for Linear Systems. CoRR Tao Wu, David F. Gleich
2016	J	`jnl`	Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion. IEEE Trans. Knowl. Data Eng. Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
2016	J	`jnl`	The Spacey Random Walk: a Stochastic Process for Higher-order Data. CoRR Austin R. Benson, David F. Gleich, Lek-Heng Lim
2015	J	`jnl`	A Parallel Min-Cut Algorithm using Iteratively Reweighted Least Squares. CoRR Yao Zhu, David F. Gleich
2015	C	`ed.`	Algorithms and Models for the Web Graph - 12th International Workshop, WAW 2015, Eindhoven, The Netherlands, December 10-11, 2015, Proceedings WAW David F. Gleich, Júlia Komjáthy, Nelly Litvak
2015	—	`conf`	Differential flux balance analysis of quantitative proteomic data on protein interaction networks. GlobalSIP Biaobin Jiang, David F. Gleich, Michael Gribskov
2015	J	`jnl`	Multilinear PageRank. SIAM J. Matrix Anal. Appl. David F. Gleich, Lek-Heng Lim, Yongyang Yu
2015	A	`conf`	Non-exhaustive, Overlapping SDM Joyce Jiyoung Whang, Inderjit S. Dhillon, David F. Gleich
2015	A*	`conf`	Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming. KDD Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
2015	J	`jnl`	Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion. CoRR Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
2015	J	`jnl`	PageRank Beyond the Web. SIAM Rev. David F. Gleich
2015	J	`jnl`	Parallel Maximum Clique Algorithms with Applications to Network Analysis. SIAM J. Sci. Comput. Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin
2015	J	`jnl`	Personalized PageRank Solution Paths. CoRR Kyle Kloster, David F. Gleich
2015	C	`conf`	Strong Localization in Personalized PageRank Vectors. WAW Huda Nassar, Kyle Kloster, David F. Gleich
2015	J	`jnl`	Strong Localization in Personalized PageRank Vectors. CoRR Huda Nassar, Kyle Kloster, David F. Gleich
2015	J	`jnl`	Sublinear Column-wise Actions of the Matrix Exponential on Social Networks. Internet Math. David F. Gleich, Kyle Kloster
2015	A	`conf`	Tensor Spectral Clustering for Partitioning Higher-order Network Structures. SDM Austin R. Benson, David F. Gleich, Jure Leskovec
2015	J	`jnl`	Tensor Spectral Clustering for Partitioning Higher-order Network Structures. CoRR Austin R. Benson, David F. Gleich, Jure Leskovec
2015	J	`jnl`	Triangular Alignment (TAME): A Tensor-based Approach for Higher-order Network Alignment. CoRR Shahin Mohammadi, David F. Gleich, Tamara G. Kolda, Ananth Grama
2015	A*	`conf`	Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms. KDD David F. Gleich, Michael W. Mahoney
2014	J	`jnl`	A Dynamical System for PageRank with Time-Dependent Teleportation. Internet Math. David F. Gleich, Ryan A. Rossi
2014	A*	`conf`	Anti-differentiating approximation algorithms: A case study with min-cuts, spectral, and flow. ICML David F. Gleich, Michael W. Mahoney
2014	J	`jnl`	Dimensionality of social networks using motifs and eigenvalues. CoRR Anthony Bonato, David F. Gleich, Myunghwan Kim, Dieter Mitsche, Pawel Pralat, Amanda Tian, Stephen J. Young
2014	J	`jnl`	Erasure coding for fault oblivious linear system solvers. CoRR David F. Gleich, Ananth Grama, Yao Zhu
2014	—	`conf`	Fast maximum clique algorithms for large graphs. WWW (Companion Volume) Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary
2014	A*	`conf`	Heat kernel based community detection. KDD Kyle Kloster, David F. Gleich
2014	J	`jnl`	Heat kernel based community detection. CoRR Kyle Kloster, David F. Gleich
2014	J	`jnl`	Model Reduction With MapReduce-enabled Tall and Skinny Singular Value Decomposition. SIAM J. Sci. Comput. Paul G. Constantine, David F. Gleich, Yangyang Hou, Jeremy A. Templeton
2014	J	`jnl`	Multilinear PageRank. CoRR David F. Gleich, Lek-Heng Lim, Yongyang Yu
2014	J	`jnl`	PageRank beyond the Web. CoRR David F. Gleich
2014	—	`conf`	Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices. NIPS Austin R. Benson, Jason D. Lee, Bartek Rajwa, David F. Gleich
2014	J	`jnl`	Scalable methods for nonnegative matrix factorizations of near-separable tall-and-skinny matrices. CoRR Austin R. Benson, Jason D. Lee, Bartek Rajwa, David F. Gleich
2014	J	`jnl`	Using Triangles to Improve Community Detection in Directed Networks. CoRR Christine Klymko, David F. Gleich, Tamara G. Kolda
2013	J	`jnl`	A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components CoRR Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary
2013	J	`jnl`	A Fast Relaxation Method for Computing a Column of the Matrix Exponential of Stochastic Matrices from Large, Sparse Networks. CoRR Kyle Kloster, David F. Gleich
2013	C	`conf`	A Nearly-Sublinear Method for Approximating a Column of the Matrix Exponential for Matrices from Large, Sparse Networks. WAW Kyle Kloster, David F. Gleich
2013	J	`jnl`	Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures CoRR Austin R. Benson, David F. Gleich, James Demmel
2013	—	`conf`	Direct QR factorizations for tall-and-skinny matrices in MapReduce architectures. IEEE BigData Austin R. Benson, David F. Gleich, James Demmel
2013	J	`jnl`	Expanders, tropical semi-rings, and nuclear norms: oh my! XRDS David F. Gleich
2013	J	`jnl`	Message-Passing Algorithms for Sparse Network Alignment. ACM Trans. Knowl. Discov. Data Mohsen Bayati, David F. Gleich, Amin Saberi, Ying Wang
2013	A	`conf`	Overlapping community detection using seed set expansion. CIKM Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon
2013	J	`jnl`	The power and Arnoldi methods in an algebra of circulants. Numer. Linear Algebra Appl. David F. Gleich, Chen Greif, James M. Varah
2012	J	`jnl`	A Dynamical System for PageRank with Time-Dependent Teleportation CoRR David F. Gleich, Ryan A. Rossi
2012	A	`conf`	A multithreaded algorithm for network alignment via approximate matching. SC Arif M. Khan, David F. Gleich, Alex Pothen, Mahantesh Halappanavar
2012	Misc	`conf`	Distinguishing signal from noise in an SVD of simulation data. ICASSP Paul G. Constantine, David F. Gleich
2012	C	`conf`	Dynamic PageRank Using Evolving Teleportation. WAW Ryan A. Rossi, David F. Gleich
2012	J	`jnl`	Dynamic PageRank using Evolving Teleportation CoRR Ryan A. Rossi, David F. Gleich
2012	J	`jnl`	Fast Matrix Computations for Pairwise and Columnwise Commute Times and Katz Scores. Internet Math. Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan
2012	J	`jnl`	Moment-Based Estimation of Stochastic Kronecker Graph Parameters. Internet Math. David F. Gleich, Art B. Owen
2012	A	`conf`	Overlapping clusters for distributed computation. WSDM Reid Andersen, David F. Gleich, Vahab S. Mirrokni
2012	A*	`conf`	Vertex neighborhoods, low conductance cuts, and good seeds for local community methods. KDD David F. Gleich, C. Seshadhri
2012	J	`jnl`	What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks CoRR Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary
2011	J	`jnl`	A Factorization of the Spectral Galerkin System for Parameterized Matrix Equations: Derivation and Applications. SIAM J. Sci. Comput. Paul G. Constantine, David F. Gleich, Gianluca Iaccarino
2011	J	`jnl`	Fast matrix computations for pair-wise and column-wise commute times and Katz scores CoRR Francesco Bonchi, Pooya Esfandiar, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan
2011	J	`jnl`	Moment based estimation of stochastic Kronecker graph parameters CoRR David F. Gleich, Art B. Owen
2011	J	`jnl`	Neighborhoods are good communities CoRR David F. Gleich, C. Seshadhri
2011	J	`jnl`	Rank Aggregation via Nuclear Norm Minimization CoRR David F. Gleich, Lek-Heng Lim
2011	A*	`conf`	Rank aggregation via nuclear norm minimization. KDD David F. Gleich, Lek-Heng Lim
2011	J	`jnl`	The power and Arnoldi methods in an algebra of circulants CoRR David F. Gleich, Chen Greif, James M. Varah
2010	J	`jnl`	An Inner-Outer Iteration for Computing PageRank. SIAM J. Sci. Comput. David F. Gleich, Andrew P. Gray, Chen Greif, Tracy Lau
2010	C	`conf`	Fast Katz and Commuters: Efficient Estimation of Social Relatedness in Large Networks. WAW Pooya Esfandiar, Francesco Bonchi, David F. Gleich, Chen Greif, Laks V. S. Lakshmanan, Byung-Won On
2010	J	`jnl`	Spectral Methods for Parameterized Matrix Equations. SIAM J. Matrix Anal. Appl. Paul G. Constantine, David F. Gleich, Gianluca Iaccarino
2010	A*	`conf`	Tracking the random surfer: empirically measured teleportation parameters in PageRank. WWW David F. Gleich, Paul G. Constantine, Abraham D. Flaxman, Asela Gunawardana
2009	A*	`conf`	Algorithms for Large, Sparse Network Alignment Problems. ICDM Mohsen Bayati, Margot Gerritsen, David F. Gleich, Amin Saberi, Ying Wang
2009	J	`jnl`	Random Alpha PageRank. Internet Math. Paul G. Constantine, David F. Gleich
2008	J	`jnl`	A Monte Carlo method for solving unsteady adjoint equations. J. Comput. Phys. Qiqi Wang, David F. Gleich, Amin Saberi, Nasrollah Etemadi, Parviz Moin
2007	J	`jnl`	Approximating Personalized PageRank with Minimal Use of Web Graph Data. Internet Math. David F. Gleich, Marzia Polito
2007	—	`conf`	Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative. Web Information Retrieval and Linear Algebra Algorithms David F. Gleich, Peter W. Glynn, Gene H. Golub, Chen Greif
2007	C	`conf`	Using Polynomial Chaos to Compute the Influence of Multiple Random Surfers in the PageRank Model. WAW Paul G. Constantine, David F. Gleich
2004	A*	`conf`	SVD based Term Suggestion and Ranking System. ICDM David F. Gleich, Leonid Zhukov